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For Companies At a Glance
- Tasks: Lead insight projects, analyse data, and deliver impactful recommendations.
- Company: Join a fast-paced tech company driving innovation and change.
- Benefits: Enjoy remote work flexibility and access to cutting-edge tools.
- Why this job: Make a real impact on marketing and product decisions while growing your analytical skills.
- Qualifications: Proficiency in SQL, Python, and experience with BI tools like Tableau required.
- Other info: Ideal for curious minds eager to explore diverse data sources.
The predicted salary is between 43200 - 72000 £ per year.
Remote - Senior Insight Analyst
We're looking for a Senior Insight Analyst to join a fast-moving tech company. You'll lead insight projects from start to finish - digging into data, running experiments, and delivering recommendations that directly influence marketing, product, and commercial decisions.
You'll work cross-functionally, using tools like SQL, Python, and data visualisation platforms (e.g., Tableau) to uncover actionable insights.
- Analytical Depth: You're comfortable using statistical methods (A/B testing, forecasting, causal inference) to go beyond the obvious and surface meaningful insights.
- Technical Proficiency: You're confident in SQL and Excel/Google Sheets. You can use Python (e.g. Pandas) for data manipulation and analysis. Familiarity with BI tools like Tableau or PowerBI is a plus.
- Strong Communicator: You can distill complex findings into clear, compelling stories that drive decision-making.
- Curious and Adaptable: You're always looking to learn, eager to explore new tools or methods, and quick to adapt to changing business needs.
- Experience with Diverse Data: From structured databases to event/clickstream data from mobile apps, you're comfortable navigating a variety of data sources.
Desired Skills and Experience: Python, SQL, A/B Testing, Segmentation, PowerBI
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Insight Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, like SQL and Python. Consider taking online courses or tutorials to sharpen your skills, especially in data manipulation using Pandas.
✨Tip Number 2
Prepare to showcase your analytical depth by thinking of examples where you've successfully used statistical methods like A/B testing or causal inference. Be ready to discuss these experiences in detail during interviews.
✨Tip Number 3
Practice distilling complex data findings into simple, compelling narratives. You might want to create a portfolio of case studies that demonstrate your ability to communicate insights effectively.
✨Tip Number 4
Stay curious and adaptable by keeping up with the latest trends in data analysis and visualisation. Engage with online communities or forums where you can learn from others and share your own insights.
We think you need these skills to ace Senior Insight Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Senior Insight Analyst role. Emphasise your proficiency in SQL, Python, and any BI tools you've used, as well as your experience with A/B testing and data analysis.
Craft a Compelling Cover Letter: In your cover letter, showcase your analytical depth and ability to communicate complex findings. Provide examples of past projects where you delivered actionable insights that influenced business decisions.
Showcase Technical Skills: Include specific examples of how you've used SQL, Python, and data visualisation tools like Tableau in your previous roles. Mention any statistical methods you've applied, such as forecasting or causal inference, to demonstrate your analytical capabilities.
Highlight Adaptability and Curiosity: Mention instances where you've quickly adapted to new tools or methods in your work. This will show your eagerness to learn and grow, which is essential for a fast-moving tech company.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in SQL, Python, and data visualisation tools like Tableau. Consider bringing examples of past projects where you used these skills to derive insights, as this will demonstrate your technical capability.
✨Demonstrate Analytical Depth
Expect questions that assess your understanding of statistical methods such as A/B testing and causal inference. Be ready to explain how you've applied these techniques in previous roles to uncover meaningful insights.
✨Communicate Clearly
Practice distilling complex data findings into simple, compelling narratives. During the interview, focus on how you can convey your insights in a way that influences decision-making, as strong communication is key for this role.
✨Emphasise Curiosity and Adaptability
Share examples of how you've embraced new tools or methodologies in your work. Highlighting your eagerness to learn and adapt to changing business needs will resonate well with the interviewers, as they value a curious mindset.
